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IEEE Transactions on Pattern Analysis and Machine Intelligence|June 29, 2023
Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear AggregationBeibei Wang, Bo Jiang, Jin Tang, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|April 2, 2021
GeCNs: Graph Elastic Convolutional Networks for Data RepresentationBo Jiang, Beibei Wang, Jin Tang, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|June 13, 2023
Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group LassoBo Jiang, Beibei Wang, Si Chen, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 30, 2025
Graph Spiking Attention Network: Sparsity, Efficiency and RobustnessBeibei Wang, Bo Jiang, Jin Tang, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|April 22, 2026
Reliable and Compact Graph Fine-Tuning Via Graph Sparse PromptingBo Jiang, Hao Wu, Beibei Wang, et al.Neural Networks : the Official Journal of the International Neural Network Society|June 24, 2022
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural NetworksBo Jiang, Si Chen, Beibei Wang, et al.IEEE Transactions on Cybernetics|July 12, 2018
Image Representation and Learning With Graph-Laplacian Tucker Tensor DecompositionBo Jiang, Chris Ding, Jin Tang, et al.IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 15, 2014
Robust feature point matching with sparse modelBo Jiang, Jin Tang, Bin Luo, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|July 7, 2025
Unifying Graph Contrastive Learning Via Graph Message AugmentationZiyan Zhang, Bo Jiang, Jin Tang, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|September 17, 2025
Revisiting Deformable Convolution on Graphs: Large-Range Modeling and RobustnessZiyan Zhang, Bo Jiang, Jin Tang, et al.Pageof 588